Pandas Profiling Report

Dataset statistics

Number of variables	29
Number of observations	85
Missing cells	95
Missing cells (%)	3.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	19.4 KiB
Average record size in memory	233.5 B

Variable types

Numeric	9
Categorical	20

Alerts

`airdate` has constant value "2020-12-07"	Constant
`_embedded_show_dvdCountry` has constant value "nan"	Constant
`url` has a high cardinality: 85 distinct values	High cardinality
`name` has a high cardinality: 65 distinct values	High cardinality
`_embedded_show_url` has a high cardinality: 57 distinct values	High cardinality
`_embedded_show_name` has a high cardinality: 57 distinct values	High cardinality
`_embedded_show_officialSite` has a high cardinality: 54 distinct values	High cardinality
`_links_self_href` has a high cardinality: 85 distinct values	High cardinality
`season` is highly correlated with `number` and 1 other fields	High correlation
`number` is highly correlated with `season`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_updated` is highly correlated with `season`	High correlation
`season` is highly correlated with `number`	High correlation
`number` is highly correlated with `season`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `_embedded_show_summary` and 16 other fields	High correlation
`summary` is highly correlated with `url` and 4 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`url` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`image` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 16 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 15 other fields	High correlation
`name` is highly correlated with `url` and 5 other fields	High correlation
`airdate` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`_links_self_href` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`type` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 16 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`id` is highly correlated with `url` and 13 other fields	High correlation
`url` is highly correlated with `id` and 25 other fields	High correlation
`name` is highly correlated with `id` and 22 other fields	High correlation
`season` is highly correlated with `url` and 14 other fields	High correlation
`number` is highly correlated with `url` and 18 other fields	High correlation
`type` is highly correlated with `url` and 8 other fields	High correlation
`airtime` is highly correlated with `url` and 17 other fields	High correlation
`airstamp` is highly correlated with `id` and 23 other fields	High correlation
`runtime` is highly correlated with `url` and 20 other fields	High correlation
`image` is highly correlated with `id` and 24 other fields	High correlation
`summary` is highly correlated with `url` and 5 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_type` is highly correlated with `url` and 17 other fields	High correlation
`_embedded_show_language` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_genres` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_status` is highly correlated with `url` and 17 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `url` and 21 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `url` and 22 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_ended` is highly correlated with `url` and 17 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_weight` is highly correlated with `url` and 17 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 23 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 16 other fields	High correlation
`_links_self_href` is highly correlated with `id` and 25 other fields	High correlation
`number` has 1 (1.2%) missing values	Missing
`runtime` has 4 (4.7%) missing values	Missing
`image` has 69 (81.2%) missing values	Missing
`_embedded_show_runtime` has 20 (23.5%) missing values	Missing
`_embedded_show_averageRuntime` has 1 (1.2%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`image` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique

Reproduction

Analysis started	2022-05-10 02:03:33.111956
Analysis finished	2022-05-10 02:04:03.123211
Duration	30.01 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	85
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2009927.271

Minimum	1945591
Maximum	2318099
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	808.0 B

Quantile statistics

Minimum	1945591
5-th percentile	1969402
Q1	1977634
median	1983431
Q3	1996354
95-th percentile	2174869.4
Maximum	2318099
Range	372508
Interquartile range (IQR)	18720

Descriptive statistics

Standard deviation	67627.26047
Coefficient of variation (CV)	0.03364662068
Kurtosis	6.529530899
Mean	2009927.271
Median Absolute Deviation (MAD)	9012
Skewness	2.558998048
Sum	170843818
Variance	4573446359
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1979245	1	1.2%
1996349	1	1.2%
2043301	1	1.2%
2024910	1	1.2%
1996355	1	1.2%
1996354	1	1.2%
1996353	1	1.2%
1996352	1	1.2%
1996351	1	1.2%
1996350	1	1.2%
Other values (75)	75	88.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1945591	1	1.2%
1960031	1	1.2%
1965646	1	1.2%
1967928	1	1.2%
1969061	1	1.2%
1970766	1	1.2%
1971202	1	1.2%
1971203	1	1.2%
1971204	1	1.2%
1971205	1	1.2%

Value	Count	Frequency (%)
2318099	1	1.2%
2211135	1	1.2%
2211134	1	1.2%
2195410	1	1.2%
2176124	1	1.2%
2169851	1	1.2%
2152584	1	1.2%
2140386	1	1.2%
2080223	1	1.2%
2079006	1	1.2%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	85
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

https://www.tvmaze.com/episodes/1979245/volk-1x01-seria-01	1
https://www.tvmaze.com/episodes/1996349/fixer-1x02-episode-2	1
https://www.tvmaze.com/episodes/2043301/the-college-tour-1x02-florida-tech	1
https://www.tvmaze.com/episodes/2024910/el-anesa-farah-2x17-episode-17	1
https://www.tvmaze.com/episodes/1996355/fixer-1x08-episode-8	1
Other values (80)	80

Length

Max length	158
Median length	100
Mean length	79.14117647
Min length	58

Characters and Unicode

Total characters	6727
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	85 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1979245/volk-1x01-seria-01
2nd row	https://www.tvmaze.com/episodes/1981560/volk-1x02-seria-02
3rd row	https://www.tvmaze.com/episodes/1986869/kotiki-1x06-seria-6
4th row	https://www.tvmaze.com/episodes/2140386/going-seventeen-2020-12-07-dont-lie-ii-2
5th row	https://www.tvmaze.com/episodes/1945591/my-little-invisible-being-1x11-episode-11

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1979245/volk-1x01-seria-01	1	1.2%
https://www.tvmaze.com/episodes/1996349/fixer-1x02-episode-2	1	1.2%
https://www.tvmaze.com/episodes/2043301/the-college-tour-1x02-florida-tech	1	1.2%
https://www.tvmaze.com/episodes/2024910/el-anesa-farah-2x17-episode-17	1	1.2%
https://www.tvmaze.com/episodes/1996355/fixer-1x08-episode-8	1	1.2%
https://www.tvmaze.com/episodes/1996354/fixer-1x07-episode-7	1	1.2%
https://www.tvmaze.com/episodes/1996353/fixer-1x06-episode-6	1	1.2%
https://www.tvmaze.com/episodes/1996352/fixer-1x05-episode-5	1	1.2%
https://www.tvmaze.com/episodes/1996351/fixer-1x04-episode-4	1	1.2%
https://www.tvmaze.com/episodes/1996350/fixer-1x03-episode-3	1	1.2%
Other values (75)	75	88.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1979245/volk-1x01-seria-01	1	1.2%
https://www.tvmaze.com/episodes/1978779/kuad-wicha-by-brands-summer-camp-1x05-episode-5	1	1.2%
https://www.tvmaze.com/episodes/1986869/kotiki-1x06-seria-6	1	1.2%
https://www.tvmaze.com/episodes/2140386/going-seventeen-2020-12-07-dont-lie-ii-2	1	1.2%
https://www.tvmaze.com/episodes/1945591/my-little-invisible-being-1x11-episode-11	1	1.2%
https://www.tvmaze.com/episodes/2065440/the-wonderland-of-ten-thousands-4x27-episode-27-155	1	1.2%
https://www.tvmaze.com/episodes/2080223/supreme-god-emperor-1x61-episode-61	1	1.2%
https://www.tvmaze.com/episodes/1977315/stjernestov-1x07-episode-7	1	1.2%
https://www.tvmaze.com/episodes/2003092/slepaa-10x96-kto-v-dome-zivet	1	1.2%
https://www.tvmaze.com/episodes/1981501/esenepozner-s02-special-zakladka-39-v-poiskah-grazdanskoj-oborony-konstantinopola-i-operatora-antonioni	1	1.2%
Other values (75)	75	88.2%

Most occurring characters

Value	Count	Frequency (%)
e	581	8.6%
-	509	7.6%
s	427	6.3%
/	425	6.3%
t	398	5.9%
o	364	5.4%
w	281	4.2%
i	277	4.1%
p	255	3.8%
a	254	3.8%
Other values (30)	2956	43.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4522	67.2%
Decimal Number	1016	15.1%
Other Punctuation	680	10.1%
Dash Punctuation	509	7.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	581	12.8%
s	427	9.4%
t	398	8.8%
o	364	8.0%
w	281	6.2%
i	277	6.1%
p	255	5.6%
a	254	5.6%
m	223	4.9%
d	194	4.3%
Other values (16)	1268	28.0%

Decimal Number

Value	Count	Frequency (%)
1	234	23.0%
0	151	14.9%
2	131	12.9%
9	120	11.8%
7	75	7.4%
4	67	6.6%
6	64	6.3%
5	62	6.1%
3	59	5.8%
8	53	5.2%

Other Punctuation

Value	Count	Frequency (%)
/	425	62.5%
.	170	25.0%
:	85	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	509	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4522	67.2%
Common	2205	32.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	581	12.8%
s	427	9.4%
t	398	8.8%
o	364	8.0%
w	281	6.2%
i	277	6.1%
p	255	5.6%
a	254	5.6%
m	223	4.9%
d	194	4.3%
Other values (16)	1268	28.0%

Common

Value	Count	Frequency (%)
-	509	23.1%
/	425	19.3%
1	234	10.6%
.	170	7.7%
0	151	6.8%
2	131	5.9%
9	120	5.4%
:	85	3.9%
7	75	3.4%
4	67	3.0%
Other values (4)	238	10.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6727	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	581	8.6%
-	509	7.6%
s	427	6.3%
/	425	6.3%
t	398	5.9%
o	364	5.4%
w	281	4.2%
i	277	4.1%
p	255	3.8%
a	254	3.8%
Other values (30)	2956	43.9%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	65
Distinct (%)	76.5%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

Episode 1	4
Episode 2	4
Episode 7	3
Episode 20	3
Episode 3	3
Other values (60)	68

Length

Max length	96
Median length	82
Mean length	18.52941176
Min length	7

Characters and Unicode

Total characters	1575
Distinct characters	103
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	63.5%

Sample

1st row	Серия 01
2nd row	Серия 02
3rd row	Серия 6
4th row	Don't Lie Ⅱ #2
5th row	Episode 11

Common Values

Value	Count	Frequency (%)
Episode 1	4	4.7%
Episode 2	4	4.7%
Episode 7	3	3.5%
Episode 20	3	3.5%
Episode 3	3	3.5%
Episode 5	3	3.5%
Episode 4	3	3.5%
Episode 24	2	2.4%
Episode 23	2	2.4%
Episode 19	2	2.4%
Other values (55)	56	65.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	42	14.8%
1	7	2.5%
2	6	2.1%
solar	6	2.1%
the	6	2.1%
7	6	2.1%
	6	2.1%
car	4	1.4%
серия	4	1.4%
december	3	1.1%
Other values (166)	194	68.3%

Most occurring characters

Value	Count	Frequency (%)
	199	12.6%
e	125	7.9%
i	97	6.2%
o	93	5.9%
s	74	4.7%
a	68	4.3%
d	64	4.1%
r	55	3.5%
n	55	3.5%
p	48	3.0%
Other values (93)	697	44.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1052	66.8%
Space Separator	199	12.6%
Uppercase Letter	183	11.6%
Decimal Number	105	6.7%
Other Punctuation	28	1.8%
Dash Punctuation	5	0.3%
Close Punctuation	1	0.1%
Open Punctuation	1	0.1%
Letter Number	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	125	11.9%
i	97	9.2%
o	93	8.8%
s	74	7.0%
a	68	6.5%
d	64	6.1%
r	55	5.2%
n	55	5.2%
p	48	4.6%
l	41	3.9%
Other values (41)	332	31.6%

Uppercase Letter

Value	Count	Frequency (%)
E	45	24.6%
S	18	9.8%
C	15	8.2%
A	10	5.5%
T	9	4.9%
B	7	3.8%
G	7	3.8%
W	7	3.8%
F	7	3.8%
H	6	3.3%
Other values (21)	52	28.4%

Decimal Number

Value	Count	Frequency (%)
2	24	22.9%
1	21	20.0%
0	12	11.4%
7	11	10.5%
3	9	8.6%
6	7	6.7%
4	7	6.7%
9	7	6.7%
5	5	4.8%
8	2	1.9%

Other Punctuation

Value	Count	Frequency (%)
,	11	39.3%
'	8	28.6%
#	5	17.9%
:	2	7.1%
?	1	3.6%
&	1	3.6%

Space Separator

Value	Count	Frequency (%)
	199	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Letter Number

Value	Count	Frequency (%)
Ⅱ	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1070	67.9%
Common	339	21.5%
Cyrillic	166	10.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	125	11.7%
i	97	9.1%
o	93	8.7%
s	74	6.9%
a	68	6.4%
d	64	6.0%
r	55	5.1%
n	55	5.1%
p	48	4.5%
E	45	4.2%
Other values (39)	346	32.3%

Cyrillic

Value	Count	Frequency (%)
о	20	12.0%
и	18	10.8%
а	14	8.4%
р	10	6.0%
н	10	6.0%
я	8	4.8%
е	8	4.8%
к	7	4.2%
л	7	4.2%
т	6	3.6%
Other values (24)	58	34.9%

Common

Value	Count	Frequency (%)
	199	58.7%
2	24	7.1%
1	21	6.2%
0	12	3.5%
7	11	3.2%
,	11	3.2%
3	9	2.7%
'	8	2.4%
6	7	2.1%
4	7	2.1%
Other values (10)	30	8.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1407	89.3%
Cyrillic	166	10.5%
None	1	0.1%
Number Forms	1	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	199	14.1%
e	125	8.9%
i	97	6.9%
o	93	6.6%
s	74	5.3%
a	68	4.8%
d	64	4.5%
r	55	3.9%
n	55	3.9%
p	48	3.4%
Other values (57)	529	37.6%

Cyrillic

Value	Count	Frequency (%)
о	20	12.0%
и	18	10.8%
а	14	8.4%
р	10	6.0%
н	10	6.0%
я	8	4.8%
е	8	4.8%
к	7	4.2%
л	7	4.2%
т	6	3.6%
Other values (24)	58	34.9%

None

Value	Count	Frequency (%)
å	1	100.0%

Number Forms

Value	Count	Frequency (%)
Ⅱ	1	100.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	13
Distinct (%)	15.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	169.3882353

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	808.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	4
95-th percentile	2020
Maximum	2020
Range	2019
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	557.7137022
Coefficient of variation (CV)	3.292517342
Kurtosis	7.748466286
Mean	169.3882353
Median Absolute Deviation (MAD)	0
Skewness	3.092756979
Sum	14398
Variance	311044.5737
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
1	56	65.9%
2020	7	8.2%
4	7	8.2%
2	5	5.9%
18	2	2.4%
10	1	1.2%
30	1	1.2%
9	1	1.2%
3	1	1.2%
12	1	1.2%
Other values (3)	3	3.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	56	65.9%
2	5	5.9%
3	1	1.2%
4	7	8.2%
6	1	1.2%
9	1	1.2%
10	1	1.2%
12	1	1.2%
18	2	2.4%
27	1	1.2%

Value	Count	Frequency (%)
2020	7	8.2%
31	1	1.2%
30	1	1.2%
27	1	1.2%
18	2	2.4%
12	1	1.2%
10	1	1.2%
9	1	1.2%
6	1	1.2%
4	7	8.2%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	36
Distinct (%)	42.9%
Missing	1
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	30.52380952

Minimum	1
Maximum	334
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	808.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	7.5
Q3	24
95-th percentile	138.5
Maximum	334
Range	333
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	63.04358335
Coefficient of variation (CV)	2.065390406
Kurtosis	13.01573895
Mean	30.52380952
Median Absolute Deviation (MAD)	6.5
Skewness	3.590645992
Sum	2564
Variance	3974.493402
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
1	9	10.6%
2	8	9.4%
5	7	8.2%
3	6	7.1%
4	5	5.9%
49	4	4.7%
6	4	4.7%
9	3	3.5%
7	3	3.5%
20	3	3.5%
Other values (26)	32	37.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	9	10.6%
2	8	9.4%
3	6	7.1%
4	5	5.9%
5	7	8.2%
6	4	4.7%
7	3	3.5%
8	1	1.2%
9	3	3.5%
10	1	1.2%

Value	Count	Frequency (%)
334	1	1.2%
292	1	1.2%
291	1	1.2%
233	1	1.2%
146	1	1.2%
96	1	1.2%
79	1	1.2%
61	1	1.2%
60	1	1.2%
57	1	1.2%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

regular	84
insignificant_special	1

Length

Max length	21
Median length	7
Mean length	7.164705882
Min length	7

Characters and Unicode

Total characters	609
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.2%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	84	98.8%
insignificant_special	1	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	84	98.8%
insignificant_special	1	1.2%

Most occurring characters

Value	Count	Frequency (%)
r	168	27.6%
a	86	14.1%
e	85	14.0%
g	85	14.0%
l	85	14.0%
u	84	13.8%
i	5	0.8%
n	3	0.5%
s	2	0.3%
c	2	0.3%
Other values (4)	4	0.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	608	99.8%
Connector Punctuation	1	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	168	27.6%
a	86	14.1%
e	85	14.0%
g	85	14.0%
l	85	14.0%
u	84	13.8%
i	5	0.8%
n	3	0.5%
s	2	0.3%
c	2	0.3%
Other values (3)	3	0.5%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	608	99.8%
Common	1	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	168	27.6%
a	86	14.1%
e	85	14.0%
g	85	14.0%
l	85	14.0%
u	84	13.8%
i	5	0.8%
n	3	0.5%
s	2	0.3%
c	2	0.3%
Other values (3)	3	0.5%

Common

Value	Count	Frequency (%)
_	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	609	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	168	27.6%
a	86	14.1%
e	85	14.0%
g	85	14.0%
l	85	14.0%
u	84	13.8%
i	5	0.8%
n	3	0.5%
s	2	0.3%
c	2	0.3%
Other values (4)	4	0.7%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

2020-12-07	85

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	850
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-07
2nd row	2020-12-07
3rd row	2020-12-07
4th row	2020-12-07
5th row	2020-12-07

Common Values

Value	Count	Frequency (%)
2020-12-07	85	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-07	85	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	255	30.0%
0	255	30.0%
-	170	20.0%
1	85	10.0%
7	85	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	680	80.0%
Dash Punctuation	170	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	255	37.5%
0	255	37.5%
1	85	12.5%
7	85	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	170	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	850	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	255	30.0%
0	255	30.0%
-	170	20.0%
1	85	10.0%
7	85	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	850	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	255	30.0%
0	255	30.0%
-	170	20.0%
1	85	10.0%
7	85	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	10.6%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

nan	61
20:00	15
21:00	3
12:00	1
06:00	1
Other values (4)	4

Length

Max length	5
Median length	3
Mean length	3.564705882
Min length	3

Characters and Unicode

Total characters	303
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	7.1%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	12:00

Common Values

Value	Count	Frequency (%)
nan	61	71.8%
20:00	15	17.6%
21:00	3	3.5%
12:00	1	1.2%
06:00	1	1.2%
17:35	1	1.2%
00:00	1	1.2%
19:00	1	1.2%
20:15	1	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	61	71.8%
20:00	15	17.6%
21:00	3	3.5%
12:00	1	1.2%
06:00	1	1.2%
17:35	1	1.2%
00:00	1	1.2%
19:00	1	1.2%
20:15	1	1.2%

Most occurring characters

Value	Count	Frequency (%)
n	122	40.3%
0	63	20.8%
a	61	20.1%
:	24	7.9%
2	20	6.6%
1	7	2.3%
5	2	0.7%
6	1	0.3%
7	1	0.3%
3	1	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	183	60.4%
Decimal Number	96	31.7%
Other Punctuation	24	7.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	63	65.6%
2	20	20.8%
1	7	7.3%
5	2	2.1%
6	1	1.0%
7	1	1.0%
3	1	1.0%
9	1	1.0%

Lowercase Letter

Value	Count	Frequency (%)
n	122	66.7%
a	61	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	24	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	183	60.4%
Common	120	39.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	63	52.5%
:	24	20.0%
2	20	16.7%
1	7	5.8%
5	2	1.7%
6	1	0.8%
7	1	0.8%
3	1	0.8%
9	1	0.8%

Latin

Value	Count	Frequency (%)
n	122	66.7%
a	61	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	303	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	122	40.3%
0	63	20.8%
a	61	20.1%
:	24	7.9%
2	20	6.6%
1	7	2.3%
5	2	0.7%
6	1	0.3%
7	1	0.3%
3	1	0.3%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	17
Distinct (%)	20.0%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

2020-12-07T12:00:00+00:00	57
2020-12-07T17:00:00+00:00	6
2020-12-07T00:00:00+00:00	3
2020-12-07T04:00:00+00:00	3
2020-12-07T21:00:00+00:00	2
Other values (12)	14

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	2125
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	11.8%

Sample

1st row	2020-12-07T00:00:00+00:00
2nd row	2020-12-07T00:00:00+00:00
3rd row	2020-12-07T00:00:00+00:00
4th row	2020-12-07T03:00:00+00:00
5th row	2020-12-07T04:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-07T12:00:00+00:00	57	67.1%
2020-12-07T17:00:00+00:00	6	7.1%
2020-12-07T00:00:00+00:00	3	3.5%
2020-12-07T04:00:00+00:00	3	3.5%
2020-12-07T21:00:00+00:00	2	2.4%
2020-12-07T11:00:00+00:00	2	2.4%
2020-12-07T19:00:00+00:00	2	2.4%
2020-12-07T16:00:00+00:00	1	1.2%
2020-12-08T01:00:00+00:00	1	1.2%
2020-12-07T19:15:00+00:00	1	1.2%
Other values (7)	7	8.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-07t12:00:00+00:00	57	67.1%
2020-12-07t17:00:00+00:00	6	7.1%
2020-12-07t00:00:00+00:00	3	3.5%
2020-12-07t04:00:00+00:00	3	3.5%
2020-12-07t21:00:00+00:00	2	2.4%
2020-12-07t11:00:00+00:00	2	2.4%
2020-12-07t19:00:00+00:00	2	2.4%
2020-12-07t03:00:00+00:00	1	1.2%
2020-12-07t05:00:00+00:00	1	1.2%
2020-12-07t05:35:00+00:00	1	1.2%
Other values (7)	7	8.2%

Most occurring characters

Value	Count	Frequency (%)
0	946	44.5%
2	315	14.8%
:	255	12.0%
-	170	8.0%
1	162	7.6%
7	89	4.2%
T	85	4.0%
+	85	4.0%
5	5	0.2%
4	4	0.2%
Other values (4)	9	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1530	72.0%
Other Punctuation	255	12.0%
Dash Punctuation	170	8.0%
Uppercase Letter	85	4.0%
Math Symbol	85	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	946	61.8%
2	315	20.6%
1	162	10.6%
7	89	5.8%
5	5	0.3%
4	4	0.3%
9	3	0.2%
8	3	0.2%
3	2	0.1%
6	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	255	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	170	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	85	100.0%

Math Symbol

Value	Count	Frequency (%)
+	85	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2040	96.0%
Latin	85	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	946	46.4%
2	315	15.4%
:	255	12.5%
-	170	8.3%
1	162	7.9%
7	89	4.4%
+	85	4.2%
5	5	0.2%
4	4	0.2%
9	3	0.1%
Other values (3)	6	0.3%

Latin

Value	Count	Frequency (%)
T	85	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2125	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	946	44.5%
2	315	14.8%
:	255	12.0%
-	170	8.0%
1	162	7.6%
7	89	4.2%
T	85	4.0%
+	85	4.0%
5	5	0.2%
4	4	0.2%
Other values (4)	9	0.4%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	35
Distinct (%)	43.2%
Missing	4
Missing (%)	4.7%
Infinite	0
Infinite (%)	0.0%
Mean	39.60493827

Minimum	2
Maximum	180
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	808.0 B

Quantile statistics

Minimum	2
5-th percentile	8
Q1	18
median	32
Q3	48
95-th percentile	120
Maximum	180
Range	178
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	31.58111739
Coefficient of variation (CV)	0.797403525
Kurtosis	5.17289454
Mean	39.60493827
Median Absolute Deviation (MAD)	16
Skewness	1.965959895
Sum	3208
Variance	997.3669753
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
60	9	10.6%
45	9	10.6%
30	4	4.7%
18	4	4.7%
48	4	4.7%
5	3	3.5%
23	3	3.5%
20	3	3.5%
25	3	3.5%
12	3	3.5%
Other values (25)	36	42.4%
(Missing)	4	4.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.2%
5	3	3.5%
8	1	1.2%
10	2	2.4%
11	1	1.2%
12	3	3.5%
13	1	1.2%
14	1	1.2%
15	2	2.4%
16	3	3.5%

Value	Count	Frequency (%)
180	1	1.2%
130	1	1.2%
120	3	3.5%
90	2	2.4%
63	1	1.2%
60	9	10.6%
52	1	1.2%
50	2	2.4%
48	4	4.7%
47	1	1.2%

image
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	16
Distinct (%)	100.0%
Missing	69
Missing (%)	81.2%
Memory size	808.0 B

{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718016.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718016.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/293/734732.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/293/734732.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/343/857757.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/343/857757.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718042.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718042.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718019.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718019.jpg'}	1
Other values (11)	11

Length

Max length	178
Median length	176
Mean length	176.125
Min length	176

Characters and Unicode

Total characters	2818
Distinct characters	38
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726341.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726341.jpg'}
2nd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718158.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718158.jpg'}
3rd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718064.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718064.jpg'}
4th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718065.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718065.jpg'}
5th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718654.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718654.jpg'}

Common Values

Value	Count	Frequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718016.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718016.jpg'}	1	1.2%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/293/734732.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/293/734732.jpg'}	1	1.2%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/343/857757.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/343/857757.jpg'}	1	1.2%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718042.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718042.jpg'}	1	1.2%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718019.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718019.jpg'}	1	1.2%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718018.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718018.jpg'}	1	1.2%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718017.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718017.jpg'}	1	1.2%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718194.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718194.jpg'}	1	1.2%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726341.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726341.jpg'}	1	1.2%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/407/1018202.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/407/1018202.jpg'}	1	1.2%
Other values (6)	6	7.1%
(Missing)	69	81.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
medium	16	25.0%
original	16	25.0%
https://static.tvmaze.com/uploads/images/medium_landscape/287/718065.jpg	1	1.6%
https://static.tvmaze.com/uploads/images/medium_landscape/407/1018202.jpg	1	1.6%
https://static.tvmaze.com/uploads/images/original_untouched/407/1018202.jpg	1	1.6%
https://static.tvmaze.com/uploads/images/medium_landscape/287/718103.jpg	1	1.6%
https://static.tvmaze.com/uploads/images/original_untouched/287/718103.jpg	1	1.6%
https://static.tvmaze.com/uploads/images/medium_landscape/287/718654.jpg	1	1.6%
https://static.tvmaze.com/uploads/images/original_untouched/287/718654.jpg	1	1.6%
https://static.tvmaze.com/uploads/images/original_untouched/287/718065.jpg	1	1.6%
Other values (24)	24	37.5%

Most occurring characters

Value	Count	Frequency (%)
/	224	7.9%
a	192	6.8%
t	176	6.2%
m	160	5.7%
i	160	5.7%
s	144	5.1%
e	128	4.5%
'	128	4.5%
o	112	4.0%
p	112	4.0%
Other values (28)	1282	45.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1888	67.0%
Other Punctuation	528	18.7%
Decimal Number	290	10.3%
Space Separator	48	1.7%
Connector Punctuation	32	1.1%
Close Punctuation	16	0.6%
Open Punctuation	16	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	192	10.2%
t	176	9.3%
m	160	8.5%
i	160	8.5%
s	144	7.6%
e	128	6.8%
o	112	5.9%
p	112	5.9%
g	96	5.1%
c	96	5.1%
Other values (9)	512	27.1%

Decimal Number

Value	Count	Frequency (%)
7	62	21.4%
8	54	18.6%
1	44	15.2%
2	40	13.8%
0	24	8.3%
3	18	6.2%
4	16	5.5%
6	14	4.8%
5	10	3.4%
9	8	2.8%

Other Punctuation

Value	Count	Frequency (%)
/	224	42.4%
'	128	24.2%
.	96	18.2%
:	64	12.1%
,	16	3.0%

Space Separator

Value	Count	Frequency (%)
	48	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	32	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	16	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1888	67.0%
Common	930	33.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	224	24.1%
'	128	13.8%
.	96	10.3%
:	64	6.9%
7	62	6.7%
8	54	5.8%
	48	5.2%
1	44	4.7%
2	40	4.3%
_	32	3.4%
Other values (9)	138	14.8%

Latin

Value	Count	Frequency (%)
a	192	10.2%
t	176	9.3%
m	160	8.5%
i	160	8.5%
s	144	7.6%
e	128	6.8%
o	112	5.9%
p	112	5.9%
g	96	5.1%
c	96	5.1%
Other values (9)	512	27.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2818	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	224	7.9%
a	192	6.8%
t	176	6.2%
m	160	5.7%
i	160	5.7%
s	144	5.1%
e	128	4.5%
'	128	4.5%
o	112	4.0%
p	112	4.0%
Other values (28)	1282	45.5%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	24
Distinct (%)	28.2%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

nan	62
<p>НТВ 27.12.2021 https://www.ntv.ru/serial/Volk/</p>	1
<p>Managing director Barry visits the Walsall branch to help with the launch of Project Diamond - a multimillion-pound investment into giving stores a makeover and branching into new product lines like frozen and chilled food.</p>	1
<p>From humble beginnings to legendary baseball player and current CEO, A-Rod shares his success story.</p>	1
<p>Join Gus Sorola, Gavin Free, Blaine Gibson, and Barbara Dunkelman as they discuss Gus's trash internet, trying not to spoil Mandalorian, Dominick the stupid Christmas Donkey, and more on this week's RT Podcast!</p>	1
Other values (19)	19

Length

Max length	409
Median length	3
Mean length	51.61176471
Min length	3

Characters and Unicode

Total characters	4387
Distinct characters	71
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	23 ?
Unique (%)	27.1%

Sample

1st row	<p>НТВ 27.12.2021 https://www.ntv.ru/serial/Volk/</p>
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	62	72.9%
<p>НТВ 27.12.2021 https://www.ntv.ru/serial/Volk/</p>	1	1.2%
<p>Managing director Barry visits the Walsall branch to help with the launch of Project Diamond - a multimillion-pound investment into giving stores a makeover and branching into new product lines like frozen and chilled food.</p>	1	1.2%
<p>From humble beginnings to legendary baseball player and current CEO, A-Rod shares his success story.</p>	1	1.2%
<p>Join Gus Sorola, Gavin Free, Blaine Gibson, and Barbara Dunkelman as they discuss Gus's trash internet, trying not to spoil Mandalorian, Dominick the stupid Christmas Donkey, and more on this week's RT Podcast!</p>	1	1.2%
<p>Experience extreme academics and unbeatable fun-in-the-sun at Florida Institute of Technology in Melbourne, FL - a short drive from the beach, Kennedy Space Center, and big opportunities. Learn about the university's hands-on degree programs, life on campus, and what it means to be a Florida Tech Panther. We'll take you underwater, into the sky, behind the wheel of a jet dragster and to Mars!<br /> </p>	1	1.2%
<p>In the finale of our 2,000-mile race across the outback, things are about to take a sharp turn for one of the leading teams. The remaining teams are struggling to survive - but only one can win!</p>	1	1.2%
<p>On day four, teams scramble to perform repairs as lightning, thunder, and brutal winds batter their encampment.</p>	1	1.2%
<p>800 kilometers from the finish line, the remaining teams persist through the heat and wind-- some more successfully than others.</p>	1	1.2%
<p>It's day two and the teams are starting to get tactical, pushing their tech to the limits and then some.</p>	1	1.2%
Other values (14)	14	16.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	62	8.5%
the	37	5.1%
and	26	3.6%
to	23	3.2%
of	20	2.8%
a	20	2.8%
	8	1.1%
p	7	1.0%
as	6	0.8%
in	6	0.8%
Other values (418)	511	70.4%

Most occurring characters

Value	Count	Frequency (%)
	635	14.5%
n	367	8.4%
e	366	8.3%
a	350	8.0%
t	274	6.2%
i	223	5.1%
s	223	5.1%
r	221	5.0%
o	213	4.9%
h	135	3.1%
Other values (61)	1380	31.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3303	75.3%
Space Separator	643	14.7%
Uppercase Letter	154	3.5%
Other Punctuation	131	3.0%
Math Symbol	112	2.6%
Decimal Number	23	0.5%
Dash Punctuation	19	0.4%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	13	8.4%
M	12	7.8%
S	12	7.8%
D	11	7.1%
B	10	6.5%
F	9	5.8%
A	9	5.8%
C	8	5.2%
P	8	5.2%
R	6	3.9%
Other values (17)	56	36.4%

Lowercase Letter

Value	Count	Frequency (%)
n	367	11.1%
e	366	11.1%
a	350	10.6%
t	274	8.3%
i	223	6.8%
s	223	6.8%
r	221	6.7%
o	213	6.4%
h	135	4.1%
l	127	3.8%
Other values (16)	804	24.3%

Other Punctuation

Value	Count	Frequency (%)
.	39	29.8%
,	36	27.5%
/	35	26.7%
'	12	9.2%
!	7	5.3%
:	2	1.5%

Decimal Number

Value	Count	Frequency (%)
0	10	43.5%
2	7	30.4%
1	4	17.4%
7	1	4.3%
8	1	4.3%

Space Separator

Value	Count	Frequency (%)
	635	98.8%
	8	1.2%

Math Symbol

Value	Count	Frequency (%)
>	56	50.0%
<	56	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	19	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3454	78.7%
Common	930	21.2%
Cyrillic	3	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	367	10.6%
e	366	10.6%
a	350	10.1%
t	274	7.9%
i	223	6.5%
s	223	6.5%
r	221	6.4%
o	213	6.2%
h	135	3.9%
l	127	3.7%
Other values (40)	955	27.6%

Common

Value	Count	Frequency (%)
	635	68.3%
>	56	6.0%
<	56	6.0%
.	39	4.2%
,	36	3.9%
/	35	3.8%
-	19	2.0%
'	12	1.3%
0	10	1.1%
	8	0.9%
Other values (8)	24	2.6%

Cyrillic

Value	Count	Frequency (%)
В	1	33.3%
Т	1	33.3%
Н	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4376	99.7%
None	8	0.2%
Cyrillic	3	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	635	14.5%
n	367	8.4%
e	366	8.4%
a	350	8.0%
t	274	6.3%
i	223	5.1%
s	223	5.1%
r	221	5.1%
o	213	4.9%
h	135	3.1%
Other values (57)	1369	31.3%

None

Value	Count	Frequency (%)
	8	100.0%

Cyrillic

Value	Count	Frequency (%)
В	1	33.3%
Т	1	33.3%
Н	1	33.3%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	57
Distinct (%)	67.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45522.58824

Minimum	802
Maximum	61755
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	808.0 B

Quantile statistics

Minimum	802
5-th percentile	7967.6
Q1	42412
median	52108
Q3	52496
95-th percentile	57207.4
Maximum	61755
Range	60953
Interquartile range (IQR)	10084

Descriptive statistics

Standard deviation	14243.37787
Coefficient of variation (CV)	0.3128859413
Kurtosis	2.572272323
Mean	45522.58824
Median Absolute Deviation (MAD)	1356
Skewness	-1.867754523
Sum	3869420
Variance	202873813.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52730	8	9.4%
52422	6	7.1%
51954	5	5.9%
52272	4	4.7%
52181	2	2.4%
15250	2	2.4%
52287	2	2.4%
58821	2	2.4%
54996	2	2.4%
52159	2	2.4%
Other values (47)	50	58.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
802	1	1.2%
2504	1	1.2%
6090	1	1.2%
6146	1	1.2%
6147	1	1.2%
15250	2	2.4%
17584	1	1.2%
18971	1	1.2%
22473	1	1.2%
26268	1	1.2%

Value	Count	Frequency (%)
61755	1	1.2%
58821	2	2.4%
58367	1	1.2%
57257	1	1.2%
57009	1	1.2%
56655	1	1.2%
55019	1	1.2%
54996	2	2.4%
54610	1	1.2%
53975	1	1.2%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	57
Distinct (%)	67.1%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

https://www.tvmaze.com/shows/52730/fixer	8
https://www.tvmaze.com/shows/52422/light-speed	6
https://www.tvmaze.com/shows/51954/the-runner	5
https://www.tvmaze.com/shows/52272/room-2806-the-accusation	4
https://www.tvmaze.com/shows/52181/volk	2
Other values (52)	60

Length

Max length	79
Median length	60
Mean length	49.32941176
Min length	39

Characters and Unicode

Total characters	4193
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	44 ?
Unique (%)	51.8%

Sample

1st row	https://www.tvmaze.com/shows/52181/volk
2nd row	https://www.tvmaze.com/shows/52181/volk
3rd row	https://www.tvmaze.com/shows/52198/kotiki
4th row	https://www.tvmaze.com/shows/56655/going-seventeen
5th row	https://www.tvmaze.com/shows/50916/my-little-invisible-being

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52730/fixer	8	9.4%
https://www.tvmaze.com/shows/52422/light-speed	6	7.1%
https://www.tvmaze.com/shows/51954/the-runner	5	5.9%
https://www.tvmaze.com/shows/52272/room-2806-the-accusation	4	4.7%
https://www.tvmaze.com/shows/52181/volk	2	2.4%
https://www.tvmaze.com/shows/15250/the-young-turks	2	2.4%
https://www.tvmaze.com/shows/52287/inside-poundland-secrets-from-the-shop-floor	2	2.4%
https://www.tvmaze.com/shows/58821/tunelis	2	2.4%
https://www.tvmaze.com/shows/54996/the-silent-criminal	2	2.4%
https://www.tvmaze.com/shows/52159/to-love	2	2.4%
Other values (47)	50	58.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52730/fixer	8	9.4%
https://www.tvmaze.com/shows/52422/light-speed	6	7.1%
https://www.tvmaze.com/shows/51954/the-runner	5	5.9%
https://www.tvmaze.com/shows/52272/room-2806-the-accusation	4	4.7%
https://www.tvmaze.com/shows/54996/the-silent-criminal	2	2.4%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2	2.4%
https://www.tvmaze.com/shows/52108/psych-hunter	2	2.4%
https://www.tvmaze.com/shows/52159/to-love	2	2.4%
https://www.tvmaze.com/shows/42412/professionals	2	2.4%
https://www.tvmaze.com/shows/58821/tunelis	2	2.4%
Other values (47)	50	58.8%

Most occurring characters

Value	Count	Frequency (%)
/	425	10.1%
w	354	8.4%
t	347	8.3%
s	325	7.8%
o	247	5.9%
e	231	5.5%
h	223	5.3%
m	200	4.8%
.	170	4.1%
a	150	3.6%
Other values (30)	1521	36.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2945	70.2%
Other Punctuation	680	16.2%
Decimal Number	437	10.4%
Dash Punctuation	131	3.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	354	12.0%
t	347	11.8%
s	325	11.0%
o	247	8.4%
e	231	7.8%
h	223	7.6%
m	200	6.8%
a	150	5.1%
c	115	3.9%
p	112	3.8%
Other values (16)	641	21.8%

Decimal Number

Value	Count	Frequency (%)
5	86	19.7%
2	80	18.3%
1	44	10.1%
0	41	9.4%
4	40	9.2%
9	32	7.3%
7	31	7.1%
8	30	6.9%
6	28	6.4%
3	25	5.7%

Other Punctuation

Value	Count	Frequency (%)
/	425	62.5%
.	170	25.0%
:	85	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	131	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2945	70.2%
Common	1248	29.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	354	12.0%
t	347	11.8%
s	325	11.0%
o	247	8.4%
e	231	7.8%
h	223	7.6%
m	200	6.8%
a	150	5.1%
c	115	3.9%
p	112	3.8%
Other values (16)	641	21.8%

Common

Value	Count	Frequency (%)
/	425	34.1%
.	170	13.6%
-	131	10.5%
5	86	6.9%
:	85	6.8%
2	80	6.4%
1	44	3.5%
0	41	3.3%
4	40	3.2%
9	32	2.6%
Other values (4)	114	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4193	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	425	10.1%
w	354	8.4%
t	347	8.3%
s	325	7.8%
o	247	5.9%
e	231	5.5%
h	223	5.3%
m	200	4.8%
.	170	4.1%
a	150	3.6%
Other values (30)	1521	36.3%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	57
Distinct (%)	67.1%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

Fixer	8
Light Speed	6
The Runner	5
Room 2806: The Accusation	4
Волк	2
Other values (52)	60

Length

Max length	45
Median length	21
Mean length	14.57647059
Min length	4

Characters and Unicode

Total characters	1239
Distinct characters	87
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	44 ?
Unique (%)	51.8%

Sample

1st row	Волк
2nd row	Волк
3rd row	Котики
4th row	Going Seventeen
5th row	My Little Invisible Being

Common Values

Value	Count	Frequency (%)
Fixer	8	9.4%
Light Speed	6	7.1%
The Runner	5	5.9%
Room 2806: The Accusation	4	4.7%
Волк	2	2.4%
The Young Turks	2	2.4%
Inside Poundland: Secrets from the Shop Floor	2	2.4%
Tunelis	2	2.4%
The Silent Criminal	2	2.4%
To Love	2	2.4%
Other values (47)	50	58.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	22	10.2%
fixer	8	3.7%
speed	6	2.8%
light	6	2.8%
of	5	2.3%
runner	5	2.3%
room	4	1.9%
2806	4	1.9%
accusation	4	1.9%
love	4	1.9%
Other values (123)	148	68.5%

Most occurring characters

Value	Count	Frequency (%)
e	135	10.9%
	131	10.6%
n	73	5.9%
o	67	5.4%
i	61	4.9%
r	59	4.8%
h	50	4.0%
t	50	4.0%
s	46	3.7%
a	45	3.6%
Other values (77)	522	42.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	881	71.1%
Uppercase Letter	195	15.7%
Space Separator	131	10.6%
Decimal Number	18	1.5%
Other Punctuation	14	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	135	15.3%
n	73	8.3%
o	67	7.6%
i	61	6.9%
r	59	6.7%
h	50	5.7%
t	50	5.7%
s	46	5.2%
a	45	5.1%
u	38	4.3%
Other values (38)	257	29.2%

Uppercase Letter

Value	Count	Frequency (%)
T	38	19.5%
S	21	10.8%
R	16	8.2%
F	15	7.7%
A	14	7.2%
M	11	5.6%
L	11	5.6%
P	9	4.6%
W	9	4.6%
C	8	4.1%
Other values (17)	43	22.1%

Other Punctuation

Value	Count	Frequency (%)
:	6	42.9%
'	3	21.4%
.	2	14.3%
!	1	7.1%
,	1	7.1%
?	1	7.1%

Decimal Number

Value	Count	Frequency (%)
0	5	27.8%
8	4	22.2%
2	4	22.2%
6	4	22.2%
3	1	5.6%

Space Separator

Value	Count	Frequency (%)
	131	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1008	81.4%
Common	163	13.2%
Cyrillic	68	5.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	135	13.4%
n	73	7.2%
o	67	6.6%
i	61	6.1%
r	59	5.9%
h	50	5.0%
t	50	5.0%
s	46	4.6%
a	45	4.5%
T	38	3.8%
Other values (38)	384	38.1%

Cyrillic

Value	Count	Frequency (%)
о	9	13.2%
е	6	8.8%
к	5	7.4%
и	5	7.4%
р	4	5.9%
т	4	5.9%
п	4	5.9%
н	4	5.9%
л	4	5.9%
В	4	5.9%
Other values (17)	19	27.9%

Common

Value	Count	Frequency (%)
	131	80.4%
:	6	3.7%
0	5	3.1%
8	4	2.5%
2	4	2.5%
6	4	2.5%
'	3	1.8%
.	2	1.2%
!	1	0.6%
3	1	0.6%
Other values (2)	2	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1168	94.3%
Cyrillic	68	5.5%
None	3	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	135	11.6%
	131	11.2%
n	73	6.2%
o	67	5.7%
i	61	5.2%
r	59	5.1%
h	50	4.3%
t	50	4.3%
s	46	3.9%
a	45	3.9%
Other values (47)	451	38.6%

Cyrillic

Value	Count	Frequency (%)
о	9	13.2%
е	6	8.8%
к	5	7.4%
и	5	7.4%
р	4	5.9%
т	4	5.9%
п	4	5.9%
н	4	5.9%
л	4	5.9%
В	4	5.9%
Other values (17)	19	27.9%

None

Value	Count	Frequency (%)
ø	1	33.3%
ä	1	33.3%
Ç	1	33.3%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	10.6%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

Scripted	41
Documentary	16
Talk Show	8
Reality	7
Animation	6
Other values (4)	7

Length

Max length	11
Median length	9
Mean length	8.470588235
Min length	4

Characters and Unicode

Total characters	720
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.4%

Sample

1st row	Scripted
2nd row	Scripted
3rd row	Scripted
4th row	Variety
5th row	Animation

Common Values

Value	Count	Frequency (%)
Scripted	41	48.2%
Documentary	16	18.8%
Talk Show	8	9.4%
Reality	7	8.2%
Animation	6	7.1%
News	3	3.5%
Variety	2	2.4%
Game Show	1	1.2%
Sports	1	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	41	43.6%
documentary	16	17.0%
show	9	9.6%
talk	8	8.5%
reality	7	7.4%
animation	6	6.4%
news	3	3.2%
variety	2	2.1%
game	1	1.1%
sports	1	1.1%

Most occurring characters

Value	Count	Frequency (%)
t	73	10.1%
e	70	9.7%
i	62	8.6%
r	60	8.3%
c	57	7.9%
S	51	7.1%
p	42	5.8%
d	41	5.7%
a	40	5.6%
o	32	4.4%
Other values (17)	192	26.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	617	85.7%
Uppercase Letter	94	13.1%
Space Separator	9	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	73	11.8%
e	70	11.3%
i	62	10.0%
r	60	9.7%
c	57	9.2%
p	42	6.8%
d	41	6.6%
a	40	6.5%
o	32	5.2%
n	28	4.5%
Other values (8)	112	18.2%

Uppercase Letter

Value	Count	Frequency (%)
S	51	54.3%
D	16	17.0%
T	8	8.5%
R	7	7.4%
A	6	6.4%
N	3	3.2%
V	2	2.1%
G	1	1.1%

Space Separator

Value	Count	Frequency (%)
	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	711	98.8%
Common	9	1.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	73	10.3%
e	70	9.8%
i	62	8.7%
r	60	8.4%
c	57	8.0%
S	51	7.2%
p	42	5.9%
d	41	5.8%
a	40	5.6%
o	32	4.5%
Other values (16)	183	25.7%

Common

Value	Count	Frequency (%)
	9	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	73	10.1%
e	70	9.7%
i	62	8.6%
r	60	8.3%
c	57	7.9%
S	51	7.1%
p	42	5.8%
d	41	5.7%
a	40	5.6%
o	32	4.4%
Other values (17)	192	26.7%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	17.6%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

English	33
Chinese	16
Arabic	10
Russian	8
Norwegian	3
Other values (10)	15

Length

Max length	10
Median length	7
Mean length	6.776470588
Min length	3

Characters and Unicode

Total characters	576
Distinct characters	31
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	5.9%

Sample

1st row	Russian
2nd row	Russian
3rd row	Russian
4th row	Korean
5th row	Chinese

Common Values

Value	Count	Frequency (%)
English	33	38.8%
Chinese	16	18.8%
Arabic	10	11.8%
Russian	8	9.4%
Norwegian	3	3.5%
Korean	2	2.4%
Dutch	2	2.4%
Thai	2	2.4%
nan	2	2.4%
Latvian	2	2.4%
Other values (5)	5	5.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	33	38.8%
chinese	16	18.8%
arabic	10	11.8%
russian	8	9.4%
norwegian	3	3.5%
korean	2	2.4%
dutch	2	2.4%
thai	2	2.4%
nan	2	2.4%
latvian	2	2.4%
Other values (5)	5	5.9%

Most occurring characters

Value	Count	Frequency (%)
i	78	13.5%
n	71	12.3%
s	68	11.8%
h	56	9.7%
e	41	7.1%
g	37	6.4%
a	34	5.9%
E	33	5.7%
l	33	5.7%
r	18	3.1%
Other values (21)	107	18.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	493	85.6%
Uppercase Letter	83	14.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	78	15.8%
n	71	14.4%
s	68	13.8%
h	56	11.4%
e	41	8.3%
g	37	7.5%
a	34	6.9%
l	33	6.7%
r	18	3.7%
u	14	2.8%
Other values (9)	43	8.7%

Uppercase Letter

Value	Count	Frequency (%)
E	33	39.8%
C	16	19.3%
A	10	12.0%
R	8	9.6%
N	3	3.6%
T	3	3.6%
L	3	3.6%
K	2	2.4%
D	2	2.4%
P	1	1.2%
Other values (2)	2	2.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	576	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	78	13.5%
n	71	12.3%
s	68	11.8%
h	56	9.7%
e	41	7.1%
g	37	6.4%
a	34	5.9%
E	33	5.7%
l	33	5.7%
r	18	3.1%
Other values (21)	107	18.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	576	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	78	13.5%
n	71	12.3%
s	68	11.8%
h	56	9.7%
e	41	7.1%
g	37	6.4%
a	34	5.9%
E	33	5.7%
l	33	5.7%
r	18	3.1%
Other values (21)	107	18.6%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	24
Distinct (%)	28.2%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

[]	32
['Drama', 'Comedy', 'Action']	8
['Comedy']	7
['Drama']	6
['Crime']	4
Other values (19)	28

Length

Max length	33
Median length	32
Mean length	13.41176471
Min length	2

Characters and Unicode

Total characters	1140
Distinct characters	31
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	12.9%

Sample

1st row	['Drama', 'Adventure', 'Mystery']
2nd row	['Drama', 'Adventure', 'Mystery']
3rd row	['Comedy']
4th row	[]
5th row	['Comedy', 'Anime']

Common Values

Value	Count	Frequency (%)
[]	32	37.6%
['Drama', 'Comedy', 'Action']	8	9.4%
['Comedy']	7	8.2%
['Drama']	6	7.1%
['Crime']	4	4.7%
['Drama', 'Comedy']	3	3.5%
['Drama', 'Adventure', 'Mystery']	2	2.4%
['Drama', 'Romance']	2	2.4%
['Crime', 'Thriller', 'Mystery']	2	2.4%
['Drama', 'Thriller', 'Mystery']	2	2.4%
Other values (14)	17	20.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	32	22.9%
drama	31	22.1%
comedy	21	15.0%
action	12	8.6%
crime	9	6.4%
romance	7	5.0%
thriller	7	5.0%
mystery	6	4.3%
adventure	3	2.1%
sports	3	2.1%
Other values (6)	9	6.4%

Most occurring characters

Value	Count	Frequency (%)
'	216	18.9%
[	85	7.5%
]	85	7.5%
a	72	6.3%
m	72	6.3%
r	69	6.1%
e	60	5.3%
	55	4.8%
,	55	4.8%
o	47	4.1%
Other values (21)	324	28.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	536	47.0%
Other Punctuation	271	23.8%
Uppercase Letter	108	9.5%
Open Punctuation	85	7.5%
Close Punctuation	85	7.5%
Space Separator	55	4.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	72	13.4%
m	72	13.4%
r	69	12.9%
e	60	11.2%
o	47	8.8%
y	37	6.9%
i	35	6.5%
n	27	5.0%
t	27	5.0%
d	26	4.9%
Other values (7)	64	11.9%

Uppercase Letter

Value	Count	Frequency (%)
C	31	28.7%
D	31	28.7%
A	18	16.7%
R	7	6.5%
T	7	6.5%
M	6	5.6%
S	3	2.8%
F	3	2.8%
H	2	1.9%

Other Punctuation

Value	Count	Frequency (%)
'	216	79.7%
,	55	20.3%

Open Punctuation

Value	Count	Frequency (%)
[	85	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	85	100.0%

Space Separator

Value	Count	Frequency (%)
	55	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	644	56.5%
Common	496	43.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	72	11.2%
m	72	11.2%
r	69	10.7%
e	60	9.3%
o	47	7.3%
y	37	5.7%
i	35	5.4%
C	31	4.8%
D	31	4.8%
n	27	4.2%
Other values (16)	163	25.3%

Common

Value	Count	Frequency (%)
'	216	43.5%
[	85	17.1%
]	85	17.1%
	55	11.1%
,	55	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1140	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	216	18.9%
[	85	7.5%
]	85	7.5%
a	72	6.3%
m	72	6.3%
r	69	6.1%
e	60	5.3%
	55	4.8%
,	55	4.8%
o	47	4.1%
Other values (21)	324	28.4%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

Ended	44
Running	30
To Be Determined	11

Length

Max length	16
Median length	5
Mean length	7.129411765
Min length	5

Characters and Unicode

Total characters	606
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ended
2nd row	Ended
3rd row	Ended
4th row	Running
5th row	Running

Common Values

Value	Count	Frequency (%)
Ended	44	51.8%
Running	30	35.3%
To Be Determined	11	12.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ended	44	41.1%
running	30	28.0%
to	11	10.3%
be	11	10.3%
determined	11	10.3%

Most occurring characters

Value	Count	Frequency (%)
n	145	23.9%
d	99	16.3%
e	88	14.5%
E	44	7.3%
i	41	6.8%
R	30	5.0%
u	30	5.0%
g	30	5.0%
	22	3.6%
T	11	1.8%
Other values (6)	66	10.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	477	78.7%
Uppercase Letter	107	17.7%
Space Separator	22	3.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	145	30.4%
d	99	20.8%
e	88	18.4%
i	41	8.6%
u	30	6.3%
g	30	6.3%
o	11	2.3%
t	11	2.3%
r	11	2.3%
m	11	2.3%

Uppercase Letter

Value	Count	Frequency (%)
E	44	41.1%
R	30	28.0%
T	11	10.3%
B	11	10.3%
D	11	10.3%

Space Separator

Value	Count	Frequency (%)
	22	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	584	96.4%
Common	22	3.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	145	24.8%
d	99	17.0%
e	88	15.1%
E	44	7.5%
i	41	7.0%
R	30	5.1%
u	30	5.1%
g	30	5.1%
T	11	1.9%
o	11	1.9%
Other values (5)	55	9.4%

Common

Value	Count	Frequency (%)
	22	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	606	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	145	23.9%
d	99	16.3%
e	88	14.5%
E	44	7.3%
i	41	6.8%
R	30	5.0%
u	30	5.0%
g	30	5.0%
	22	3.6%
T	11	1.8%
Other values (6)	66	10.9%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	22
Distinct (%)	33.8%
Missing	20
Missing (%)	23.5%
Infinite	0
Infinite (%)	0.0%
Mean	42.66153846

Minimum	2
Maximum	180
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	808.0 B

Quantile statistics

Minimum	2
5-th percentile	6
Q1	18
median	40
Q3	60
95-th percentile	120
Maximum	180
Range	178
Interquartile range (IQR)	42

Descriptive statistics

Standard deviation	33.36693579
Coefficient of variation (CV)	0.7821315637
Kurtosis	4.424812318
Mean	42.66153846
Median Absolute Deviation (MAD)	20
Skewness	1.818908144
Sum	2773
Variance	1113.352404
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
60	11	12.9%
18	8	9.4%
45	7	8.2%
30	5	5.9%
10	4	4.7%
48	3	3.5%
5	3	3.5%
50	3	3.5%
120	3	3.5%
15	2	2.4%
Other values (12)	16	18.8%
(Missing)	20	23.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.2%
5	3	3.5%
10	4	4.7%
12	1	1.2%
15	2	2.4%
18	8	9.4%
20	2	2.4%
22	1	1.2%
23	1	1.2%
25	2	2.4%

Value	Count	Frequency (%)
180	1	1.2%
130	1	1.2%
120	3	3.5%
90	1	1.2%
60	11	12.9%
51	2	2.4%
50	3	3.5%
48	3	3.5%
45	7	8.2%
40	1	1.2%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	30
Distinct (%)	35.7%
Missing	1
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	39.60714286

Minimum	2
Maximum	181
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	808.0 B

Quantile statistics

Minimum	2
5-th percentile	8.15
Q1	17
median	33.5
Q3	50
95-th percentile	115.5
Maximum	181
Range	179
Interquartile range (IQR)	33

Descriptive statistics

Standard deviation	31.22750481
Coefficient of variation (CV)	0.7884311404
Kurtosis	5.344192176
Mean	39.60714286
Median Absolute Deviation (MAD)	16.5
Skewness	1.957880665
Sum	3327
Variance	975.1570568
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
50	9	10.6%
60	9	10.6%
17	8	9.4%
45	7	8.2%
21	7	8.2%
30	4	4.7%
25	4	4.7%
5	3	3.5%
10	3	3.5%
120	3	3.5%
Other values (20)	27	31.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.2%
5	3	3.5%
8	1	1.2%
9	1	1.2%
10	3	3.5%
11	1	1.2%
12	2	2.4%
14	1	1.2%
15	2	2.4%
16	1	1.2%

Value	Count	Frequency (%)
181	1	1.2%
130	1	1.2%
120	3	3.5%
90	1	1.2%
77	1	1.2%
76	1	1.2%
60	9	10.6%
50	9	10.6%
48	3	3.5%
45	7	8.2%

_embedded_show_premiered
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	41
Distinct (%)	48.2%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

2020-12-07	25
2020-11-23	8
2020-11-16	6
2020-11-09	4
2020-11-30	3
Other values (36)	39

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	850
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	33 ?
Unique (%)	38.8%

Sample

1st row	2020-12-07
2nd row	2020-12-07
3rd row	2020-11-30
4th row	2017-06-12
5th row	2020-10-05

Common Values

Value	Count	Frequency (%)
2020-12-07	25	29.4%
2020-11-23	8	9.4%
2020-11-16	6	7.1%
2020-11-09	4	4.7%
2020-11-30	3	3.5%
2020-10-05	2	2.4%
2020-11-19	2	2.4%
2013-12-24	2	2.4%
2016-10-30	1	1.2%
2008-10-26	1	1.2%
Other values (31)	31	36.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-07	25	29.4%
2020-11-23	8	9.4%
2020-11-16	6	7.1%
2020-11-09	4	4.7%
2020-11-30	3	3.5%
2020-10-05	2	2.4%
2020-11-19	2	2.4%
2013-12-24	2	2.4%
2003-04-01	1	1.2%
2017-06-12	1	1.2%
Other values (31)	31	36.5%

Most occurring characters

Value	Count	Frequency (%)
0	224	26.4%
2	194	22.8%
-	170	20.0%
1	143	16.8%
7	34	4.0%
9	26	3.1%
3	22	2.6%
8	11	1.3%
6	10	1.2%
5	8	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	680	80.0%
Dash Punctuation	170	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	224	32.9%
2	194	28.5%
1	143	21.0%
7	34	5.0%
9	26	3.8%
3	22	3.2%
8	11	1.6%
6	10	1.5%
5	8	1.2%
4	8	1.2%

Dash Punctuation

Value	Count	Frequency (%)
-	170	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	850	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	224	26.4%
2	194	22.8%
-	170	20.0%
1	143	16.8%
7	34	4.0%
9	26	3.1%
3	22	2.6%
8	11	1.3%
6	10	1.2%
5	8	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	850	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	224	26.4%
2	194	22.8%
-	170	20.0%
1	143	16.8%
7	34	4.0%
9	26	3.1%
3	22	2.6%
8	11	1.3%
6	10	1.2%
5	8	0.9%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	17.6%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

nan	41
2020-12-07	19
2020-12-14	7
2020-12-28	3
2021-01-18	2
Other values (10)	13

Length

Max length	10
Median length	10
Mean length	6.623529412
Min length	3

Characters and Unicode

Total characters	563
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	8.2%

Sample

1st row	2020-12-28
2nd row	2020-12-28
3rd row	2020-12-11
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	41	48.2%
2020-12-07	19	22.4%
2020-12-14	7	8.2%
2020-12-28	3	3.5%
2021-01-18	2	2.4%
2020-12-30	2	2.4%
2020-12-16	2	2.4%
2020-12-23	2	2.4%
2020-12-11	1	1.2%
2020-12-24	1	1.2%
Other values (5)	5	5.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	41	48.2%
2020-12-07	19	22.4%
2020-12-14	7	8.2%
2020-12-28	3	3.5%
2021-01-18	2	2.4%
2020-12-30	2	2.4%
2020-12-16	2	2.4%
2020-12-23	2	2.4%
2020-12-11	1	1.2%
2020-12-24	1	1.2%
Other values (5)	5	5.9%

Most occurring characters

Value	Count	Frequency (%)
2	138	24.5%
0	110	19.5%
-	88	15.6%
n	82	14.6%
1	63	11.2%
a	41	7.3%
7	20	3.6%
4	8	1.4%
8	6	1.1%
3	4	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	352	62.5%
Lowercase Letter	123	21.8%
Dash Punctuation	88	15.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	138	39.2%
0	110	31.2%
1	63	17.9%
7	20	5.7%
4	8	2.3%
8	6	1.7%
3	4	1.1%
6	3	0.9%

Lowercase Letter

Value	Count	Frequency (%)
n	82	66.7%
a	41	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	88	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	440	78.2%
Latin	123	21.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	138	31.4%
0	110	25.0%
-	88	20.0%
1	63	14.3%
7	20	4.5%
4	8	1.8%
8	6	1.4%
3	4	0.9%
6	3	0.7%

Latin

Value	Count	Frequency (%)
n	82	66.7%
a	41	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	563	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	138	24.5%
0	110	19.5%
-	88	15.6%
n	82	14.6%
1	63	11.2%
a	41	7.3%
7	20	3.6%
4	8	1.4%
8	6	1.1%
3	4	0.7%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	54
Distinct (%)	63.5%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

nan	8
https://shahid.mbc.net/en/series/Fixer/series-820315	8
https://www.youtube.com/playlist?list=PL6uC-XGZC7X7nu1ycW1YGbl-wErl027uc	6
https://www.netflix.com/title/81068760	4
https://premier.one/show/12339	2
Other values (49)	57

Length

Max length	130
Median length	77
Mean length	47.87058824
Min length	3

Characters and Unicode

Total characters	4069
Distinct characters	76
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41 ?
Unique (%)	48.2%

Sample

1st row	https://premier.one/show/12339
2nd row	https://premier.one/show/12339
3rd row	http://epic-media.ru/project/kotiki
4th row	nan
5th row	https://www.bilibili.com/bangumi/media/md28229943/

Common Values

Value	Count	Frequency (%)
nan	8	9.4%
https://shahid.mbc.net/en/series/Fixer/series-820315	8	9.4%
https://www.youtube.com/playlist?list=PL6uC-XGZC7X7nu1ycW1YGbl-wErl027uc	6	7.1%
https://www.netflix.com/title/81068760	4	4.7%
https://premier.one/show/12339	2	2.4%
https://www.tytnetwork.com	2	2.4%
https://www.channel4.com/programmes/inside-poundland-secrets-from-the-shop-floor	2	2.4%
https://go3.tv/series/tunnel,serial-2201417	2	2.4%
https://www.iqiyi.com/a_je0t80m6td.html	2	2.4%
https://so.youku.com/search_video/q_%20%E6%9C%80%E5%88%9D%E7%9A%84%E7%9B%B8%E9%81%87?searchfrom=1	2	2.4%
Other values (44)	47	55.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	8	9.4%
https://shahid.mbc.net/en/series/fixer/series-820315	8	9.4%
https://www.youtube.com/playlist?list=pl6uc-xgzc7x7nu1ycw1ygbl-werl027uc	6	7.1%
https://www.netflix.com/title/81068760	4	4.7%
https://www.iqiyi.com/a_je0t80m6td.html	2	2.4%
https://www.iqiyi.com/a_19rrhskr95.html	2	2.4%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab	2	2.4%
https://so.youku.com/search_video/q_%20%e6%9c%80%e5%88%9d%e7%9a%84%e7%9b%b8%e9%81%87?searchfrom=1	2	2.4%
https://viaplay.no/serier/professionals	2	2.4%
https://go3.tv/series/tunnel,serial-2201417	2	2.4%
Other values (44)	47	55.3%

Most occurring characters

Value	Count	Frequency (%)
/	329	8.1%
t	301	7.4%
e	246	6.0%
s	241	5.9%
o	165	4.1%
h	156	3.8%
w	155	3.8%
i	145	3.6%
.	143	3.5%
r	140	3.4%
Other values (66)	2048	50.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2660	65.4%
Other Punctuation	635	15.6%
Decimal Number	413	10.1%
Uppercase Letter	227	5.6%
Dash Punctuation	91	2.2%
Math Symbol	28	0.7%
Connector Punctuation	15	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	301	11.3%
e	246	9.2%
s	241	9.1%
o	165	6.2%
h	156	5.9%
w	155	5.8%
i	145	5.5%
r	140	5.3%
n	129	4.8%
p	125	4.7%
Other values (16)	857	32.2%

Uppercase Letter

Value	Count	Frequency (%)
E	25	11.0%
C	24	10.6%
G	16	7.0%
X	15	6.6%
B	14	6.2%
A	13	5.7%
P	13	5.7%
L	12	5.3%
F	12	5.3%
D	9	4.0%
Other values (16)	74	32.6%

Decimal Number

Value	Count	Frequency (%)
0	55	13.3%
1	55	13.3%
8	45	10.9%
7	45	10.9%
2	42	10.2%
4	36	8.7%
6	36	8.7%
5	34	8.2%
9	33	8.0%
3	32	7.7%

Other Punctuation

Value	Count	Frequency (%)
/	329	51.8%
.	143	22.5%
:	77	12.1%
%	57	9.0%
?	14	2.2%
&	10	1.6%
,	3	0.5%
!	1	0.2%
#	1	0.2%

Math Symbol

Value	Count	Frequency (%)
=	25	89.3%
+	2	7.1%
~	1	3.6%

Dash Punctuation

Value	Count	Frequency (%)
-	91	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2887	71.0%
Common	1182	29.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	301	10.4%
e	246	8.5%
s	241	8.3%
o	165	5.7%
h	156	5.4%
w	155	5.4%
i	145	5.0%
r	140	4.8%
n	129	4.5%
p	125	4.3%
Other values (42)	1084	37.5%

Common

Value	Count	Frequency (%)
/	329	27.8%
.	143	12.1%
-	91	7.7%
:	77	6.5%
%	57	4.8%
0	55	4.7%
1	55	4.7%
8	45	3.8%
7	45	3.8%
2	42	3.6%
Other values (14)	243	20.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4069	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	329	8.1%
t	301	7.4%
e	246	6.0%
s	241	5.9%
o	165	4.1%
h	156	3.8%
w	155	3.8%
i	145	3.6%
.	143	3.5%
r	140	3.4%
Other values (66)	2048	50.3%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	39
Distinct (%)	45.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.03529412

Minimum	1
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	808.0 B

Quantile statistics

Minimum	1
5-th percentile	3
Q1	13
median	20
Q3	32
95-th percentile	81.8
Maximum	97
Range	96
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	23.20583212
Coefficient of variation (CV)	0.8583532332
Kurtosis	1.817195891
Mean	27.03529412
Median Absolute Deviation (MAD)	9
Skewness	1.484966148
Sum	2298
Variance	538.5106443
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
3	9	10.6%
15	9	10.6%
13	7	8.2%
25	6	7.1%
42	5	5.9%
18	4	4.7%
29	3	3.5%
32	3	3.5%
27	3	3.5%
6	3	3.5%
Other values (29)	33	38.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	1.2%
3	9	10.6%
4	1	1.2%
6	3	3.5%
7	1	1.2%
8	1	1.2%
10	1	1.2%
11	2	2.4%
13	7	8.2%
14	1	1.2%

Value	Count	Frequency (%)
97	2	2.4%
94	1	1.2%
87	1	1.2%
83	1	1.2%
77	1	1.2%
66	1	1.2%
65	1	1.2%
64	1	1.2%
63	1	1.2%
58	1	1.2%

_embedded_show_dvdCountry
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

nan	85

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	255
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	85	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	85	100.0%

Most occurring characters

Value	Count	Frequency (%)
n	170	66.7%
a	85	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	255	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	170	66.7%
a	85	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	255	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	170	66.7%
a	85	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	255	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	170	66.7%
a	85	33.3%

_embedded_show_summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	48
Distinct (%)	56.5%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

nan	16
<p>When an Arab celebrity has a problem, fixer Tony Tabet is the solution. Now he wants out to reconnect with his son, and with one month left on the job.</p>	8
<p>A race against time and the elements using high tech that could go fatally wrong - this is Light Speed. Join Derek Muller of Veritasium to meet the minds (and understand the physics!) behind the world's most advanced solar vehicles as they race 2,000 miles across the Australian Outback.</p>	6
<p><b>Room 2806: The Accusation</b> traces the 2011 sexual assault case involving French politician Dominique Strauss, who was then at the height of his career. On 14 May 2011, Nafissatou Diallo, a 32-year-old maid at the Sofitel New York Hotel, alleged that Strauss-Kahn had sexually assaulted her after she entered his suite. Hear the full story from people who were involved in the alleged incident and subsequent trial.</p>	4
<p><b>Professionals</b> is set against a backdrop of international espionage and corporate sabotage in the 21st century's privately-funded space race and follows hardened former counterintelligence officer Captain Vincent Corbo. After their advanced medical satellite explodes on deployment, billionaire futurist Peter Swann and his fiancée, medical visionary Dr. Graciela "Grace" Davila, turn to Corbo. Corbo assembles a team of experienced professionals to investigate the incident. They learn that any combination of Swann's business rivals, corrupt governments officials, and a shadowy crime syndicate could be behind the attack and represent a continued threat.</p>	2
Other values (43)	49

Length

Max length	877
Median length	570
Mean length	259.8117647
Min length	3

Characters and Unicode

Total characters	22084
Distinct characters	86
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	37 ?
Unique (%)	43.5%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	<p>Initially a series of behind-the-scenes vlogs, <b>Going Seventeen</b> has taken a more structured route since mid-2019 and is now a reality-variety show with themed episodes. Every week, the members of Seventeen play games or participate in a variety of activities for everyone's delight and entertainment. Season 2021's keyword is "Watch What You Say", meaning that anything the members say can and will be turned into content...</p>
5th row	<p>One day in 20XX, the alien pig prince who planned to take a human body as his home arrived on Earth, but unexpectedly discovered that the human being he wanted to live in had not yet been born! The pig prince, who has nowhere to settle down, got to know Saiji and Rubi. The three pulled various funny pranks on humans, causing humans to have baldness, bad breath, headaches, emotional crisis and other problems.</p>

Common Values

Value	Count	Frequency (%)
nan	16	18.8%
<p>When an Arab celebrity has a problem, fixer Tony Tabet is the solution. Now he wants out to reconnect with his son, and with one month left on the job.</p>	8	9.4%
<p>A race against time and the elements using high tech that could go fatally wrong - this is Light Speed. Join Derek Muller of Veritasium to meet the minds (and understand the physics!) behind the world's most advanced solar vehicles as they race 2,000 miles across the Australian Outback.</p>	6	7.1%
<p><b>Room 2806: The Accusation</b> traces the 2011 sexual assault case involving French politician Dominique Strauss, who was then at the height of his career. On 14 May 2011, Nafissatou Diallo, a 32-year-old maid at the Sofitel New York Hotel, alleged that Strauss-Kahn had sexually assaulted her after she entered his suite. Hear the full story from people who were involved in the alleged incident and subsequent trial.</p>	4	4.7%
<p><b>Professionals</b> is set against a backdrop of international espionage and corporate sabotage in the 21st century's privately-funded space race and follows hardened former counterintelligence officer Captain Vincent Corbo. After their advanced medical satellite explodes on deployment, billionaire futurist Peter Swann and his fiancée, medical visionary Dr. Graciela "Grace" Davila, turn to Corbo. Corbo assembles a team of experienced professionals to investigate the incident. They learn that any combination of Swann's business rivals, corrupt governments officials, and a shadowy crime syndicate could be behind the attack and represent a continued threat.</p>	2	2.4%
<p>From bargain to deluxe, Poundland are on a mission to transform their reputation and go upmarket, from investing millions on opening new stores and undergoing refits to launching new product ranges.</p>	2	2.4%
<p>89 prisoners escaped from Pārlielupe Prison, tens of thousands of people were involved in their search, and mass arrests continued for ten years. Dramas of mutual relations, a massive and enigmatic escape is organized, in parallel with the flourishing of the love of the main character and the daughter of the head of the prison and the hopes for a new, beautiful life.</p>	2	2.4%
<p>A story that follows people whose lives are entangled due to a complicated case. While investigating a drug cartel as an undercover cop, Yan Jin falls in love with the beautiful coffee shop owner Ji Xiao'ou.</p>	2	2.4%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	2	2.4%
<p>Merchant Jiang Shuo and his odd specialist companion Qin Yi Heng purchase frequented houses to exchange them. In any case, alarming things start to occur and each spooky house is by all accounts part of a major riddle. Jiang Shuo, Yi Heng, and police officer Yuan Mu Qing attempt to understand the riddle.</p>	2	2.4%
Other values (38)	39	45.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	214	5.9%
and	131	3.6%
to	99	2.7%
of	88	2.4%
a	88	2.4%
in	59	1.6%
with	46	1.3%
is	40	1.1%
on	35	1.0%
that	31	0.8%
Other values (1239)	2822	77.3%

Most occurring characters

Value	Count	Frequency (%)
	3564	16.1%
e	2032	9.2%
t	1446	6.5%
a	1415	6.4%
n	1329	6.0%
o	1266	5.7%
i	1174	5.3%
s	1109	5.0%
r	1008	4.6%
h	862	3.9%
Other values (76)	6879	31.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16611	75.2%
Space Separator	3568	16.2%
Uppercase Letter	722	3.3%
Other Punctuation	590	2.7%
Math Symbol	378	1.7%
Decimal Number	148	0.7%
Dash Punctuation	42	0.2%
Open Punctuation	12	0.1%
Close Punctuation	12	0.1%
Currency Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2032	12.2%
t	1446	8.7%
a	1415	8.5%
n	1329	8.0%
o	1266	7.6%
i	1174	7.1%
s	1109	6.7%
r	1008	6.1%
h	862	5.2%
l	681	4.1%
Other values (21)	4289	25.8%

Uppercase Letter

Value	Count	Frequency (%)
T	68	9.4%
S	65	9.0%
A	58	8.0%
W	45	6.2%
D	43	6.0%
Y	42	5.8%
M	41	5.7%
R	33	4.6%
L	32	4.4%
N	27	3.7%
Other values (16)	268	37.1%

Other Punctuation

Value	Count	Frequency (%)
,	226	38.3%
.	175	29.7%
/	96	16.3%
'	46	7.8%
"	22	3.7%
!	13	2.2%
:	8	1.4%
?	2	0.3%
;	1	0.2%
&	1	0.2%

Decimal Number

Value	Count	Frequency (%)
0	41	27.7%
2	35	23.6%
1	34	23.0%
3	8	5.4%
8	8	5.4%
9	8	5.4%
6	6	4.1%
4	4	2.7%
7	2	1.4%
5	2	1.4%

Space Separator

Value	Count	Frequency (%)
	3564	99.9%
	4	0.1%

Math Symbol

Value	Count	Frequency (%)
<	189	50.0%
>	189	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	34	81.0%
—	8	19.0%

Open Punctuation

Value	Count	Frequency (%)
(	12	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	12	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17333	78.5%
Common	4751	21.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2032	11.7%
t	1446	8.3%
a	1415	8.2%
n	1329	7.7%
o	1266	7.3%
i	1174	6.8%
s	1109	6.4%
r	1008	5.8%
h	862	5.0%
l	681	3.9%
Other values (47)	5011	28.9%

Common

Value	Count	Frequency (%)
	3564	75.0%
,	226	4.8%
<	189	4.0%
>	189	4.0%
.	175	3.7%
/	96	2.0%
'	46	1.0%
0	41	0.9%
2	35	0.7%
-	34	0.7%
Other values (19)	156	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22065	99.9%
None	11	< 0.1%
Punctuation	8	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3564	16.2%
e	2032	9.2%
t	1446	6.6%
a	1415	6.4%
n	1329	6.0%
o	1266	5.7%
i	1174	5.3%
s	1109	5.0%
r	1008	4.6%
h	862	3.9%
Other values (69)	6860	31.1%

Punctuation

Value	Count	Frequency (%)
—	8	100.0%

None

Value	Count	Frequency (%)
	4	36.4%
ā	2	18.2%
é	2	18.2%
ç	1	9.1%
ı	1	9.1%
å	1	9.1%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	57
Distinct (%)	67.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1631057754

Minimum	1602172227
Maximum	1652004708
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	808.0 B

Quantile statistics

Minimum	1602172227
5-th percentile	1608999255
Q1	1614622943
median	1636236331
Q3	1648029023
95-th percentile	1651823692
Maximum	1652004708
Range	49832481
Interquartile range (IQR)	33406080

Descriptive statistics

Standard deviation	16885338.5
Coefficient of variation (CV)	0.01035238541
Kurtosis	-1.706824293
Mean	1631057754
Median Absolute Deviation (MAD)	15505216
Skewness	-0.1296494677
Sum	1.386399091 × 10¹¹
Variance	2.851146563 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1614622943	8	9.4%
1608999255	6	7.1%
1615192954	5	5.9%
1615854345	4	4.7%
1640435531	2	2.4%
1648190058	2	2.4%
1607382073	2	2.4%
1636236331	2	2.4%
1619636581	2	2.4%
1609060726	2	2.4%
Other values (47)	50	58.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1602172227	1	1.2%
1607382073	2	2.4%
1608999255	6	7.1%
1609060726	2	2.4%
1609535141	2	2.4%
1611436842	1	1.2%
1613088348	1	1.2%
1613356446	1	1.2%
1614622943	8	9.4%
1615192954	5	5.9%

Value	Count	Frequency (%)
1652004708	2	2.4%
1652004050	1	1.2%
1651933209	1	1.2%
1651838647	1	1.2%
1651763872	1	1.2%
1651637390	1	1.2%
1651570316	1	1.2%
1651502593	1	1.2%
1651429337	1	1.2%
1650908800	1	1.2%

_links_self_href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	85
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	808.0 B

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/1950369	1
https://api.tvmaze.com/episodes/1998678	1
https://api.tvmaze.com/episodes/1998676	1
https://api.tvmaze.com/episodes/1998675	1
Other values (80)	80

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	3315
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	85 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.2%
https://api.tvmaze.com/episodes/1950369	1	1.2%
https://api.tvmaze.com/episodes/1998678	1	1.2%
https://api.tvmaze.com/episodes/1998676	1	1.2%
https://api.tvmaze.com/episodes/1998675	1	1.2%
https://api.tvmaze.com/episodes/1998674	1	1.2%
https://api.tvmaze.com/episodes/1998673	1	1.2%
https://api.tvmaze.com/episodes/1997815	1	1.2%
https://api.tvmaze.com/episodes/1997814	1	1.2%
https://api.tvmaze.com/episodes/2083331	1	1.2%
Other values (75)	75	88.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.2%
https://api.tvmaze.com/episodes/2015837	1	1.2%
https://api.tvmaze.com/episodes/1964000	1	1.2%
https://api.tvmaze.com/episodes/1995405	1	1.2%
https://api.tvmaze.com/episodes/2007760	1	1.2%
https://api.tvmaze.com/episodes/1985789	1	1.2%
https://api.tvmaze.com/episodes/2039622	1	1.2%
https://api.tvmaze.com/episodes/2039623	1	1.2%
https://api.tvmaze.com/episodes/2324427	1	1.2%
https://api.tvmaze.com/episodes/2324428	1	1.2%
Other values (75)	75	88.2%

Most occurring characters

Value	Count	Frequency (%)
/	340	10.3%
p	255	7.7%
s	255	7.7%
e	255	7.7%
t	255	7.7%
o	170	5.1%
a	170	5.1%
i	170	5.1%
.	170	5.1%
m	170	5.1%
Other values (16)	1105	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2125	64.1%
Other Punctuation	595	17.9%
Decimal Number	595	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	255	12.0%
s	255	12.0%
e	255	12.0%
t	255	12.0%
o	170	8.0%
a	170	8.0%
i	170	8.0%
m	170	8.0%
h	85	4.0%
d	85	4.0%
Other values (3)	255	12.0%

Decimal Number

Value	Count	Frequency (%)
9	108	18.2%
2	92	15.5%
1	80	13.4%
3	56	9.4%
0	54	9.1%
8	50	8.4%
6	43	7.2%
4	41	6.9%
7	37	6.2%
5	34	5.7%

Other Punctuation

Value	Count	Frequency (%)
/	340	57.1%
.	170	28.6%
:	85	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2125	64.1%
Common	1190	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	340	28.6%
.	170	14.3%
9	108	9.1%
2	92	7.7%
:	85	7.1%
1	80	6.7%
3	56	4.7%
0	54	4.5%
8	50	4.2%
6	43	3.6%
Other values (3)	112	9.4%

Latin

Value	Count	Frequency (%)
p	255	12.0%
s	255	12.0%
e	255	12.0%
t	255	12.0%
o	170	8.0%
a	170	8.0%
i	170	8.0%
m	170	8.0%
h	85	4.0%
d	85	4.0%
Other values (3)	255	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3315	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	340	10.3%
p	255	7.7%
s	255	7.7%
e	255	7.7%
t	255	7.7%
o	170	5.1%
a	170	5.1%
i	170	5.1%
.	170	5.1%
m	170	5.1%
Other values (16)	1105	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	1979245	https://www.tvmaze.com/episodes/1979245/volk-1x01-seria-01	Серия 01	1.0	1.0	regular	2020-12-07	nan	2020-12-07T00:00:00+00:00	52.0	None	<p>НТВ 27.12.2021 https://www.ntv.ru/serial/Volk/</p>	52181	https://www.tvmaze.com/shows/52181/volk	Волк	Scripted	Russian	['Drama', 'Adventure', 'Mystery']	Ended	51.0	50.0	2020-12-07	2020-12-28	https://premier.one/show/12339	25.0	nan	nan	1.640436e+09	https://api.tvmaze.com/episodes/1977902
1	1981560	https://www.tvmaze.com/episodes/1981560/volk-1x02-seria-02	Серия 02	1.0	2.0	regular	2020-12-07	nan	2020-12-07T00:00:00+00:00	48.0	None	nan	52181	https://www.tvmaze.com/shows/52181/volk	Волк	Scripted	Russian	['Drama', 'Adventure', 'Mystery']	Ended	51.0	50.0	2020-12-07	2020-12-28	https://premier.one/show/12339	25.0	nan	nan	1.640436e+09	https://api.tvmaze.com/episodes/2015818
2	1986869	https://www.tvmaze.com/episodes/1986869/kotiki-1x06-seria-6	Серия 6	1.0	6.0	regular	2020-12-07	nan	2020-12-07T00:00:00+00:00	13.0	None	nan	52198	https://www.tvmaze.com/shows/52198/kotiki	Котики	Scripted	Russian	['Comedy']	Ended	12.0	12.0	2020-11-30	2020-12-11	http://epic-media.ru/project/kotiki	15.0	nan	nan	1.637555e+09	https://api.tvmaze.com/episodes/1964000
3	2140386	https://www.tvmaze.com/episodes/2140386/going-seventeen-2020-12-07-dont-lie-ii-2	Don't Lie Ⅱ #2	2020.0	41.0	regular	2020-12-07	nan	2020-12-07T03:00:00+00:00	30.0	None	nan	56655	https://www.tvmaze.com/shows/56655/going-seventeen	Going Seventeen	Variety	Korean	[]	Running	30.0	30.0	2017-06-12	nan	nan	18.0	nan	<p>Initially a series of behind-the-scenes vlogs, <b>Going Seventeen</b> has taken a more structured route since mid-2019 and is now a reality-variety show with themed episodes. Every week, the members of Seventeen play games or participate in a variety of activities for everyone's delight and entertainment. Season 2021's keyword is "Watch What You Say", meaning that anything the members say can and will be turned into content...</p>	1.651764e+09	https://api.tvmaze.com/episodes/1995405
4	1945591	https://www.tvmaze.com/episodes/1945591/my-little-invisible-being-1x11-episode-11	Episode 11	1.0	11.0	regular	2020-12-07	12:00	2020-12-07T04:00:00+00:00	5.0	None	nan	50916	https://www.tvmaze.com/shows/50916/my-little-invisible-being	My Little Invisible Being	Animation	Chinese	['Comedy', 'Anime']	Running	5.0	5.0	2020-10-05	nan	https://www.bilibili.com/bangumi/media/md28229943/	3.0	nan	<p>One day in 20XX, the alien pig prince who planned to take a human body as his home arrived on Earth, but unexpectedly discovered that the human being he wanted to live in had not yet been born! The pig prince, who has nowhere to settle down, got to know Saiji and Rubi. The three pulled various funny pranks on humans, causing humans to have baldness, bad breath, headaches, emotional crisis and other problems.</p>	1.602172e+09	https://api.tvmaze.com/episodes/2007760
5	2065440	https://www.tvmaze.com/episodes/2065440/the-wonderland-of-ten-thousands-4x27-episode-27-155	Episode 27 (155)	4.0	27.0	regular	2020-12-07	nan	2020-12-07T04:00:00+00:00	10.0	None	nan	54610	https://www.tvmaze.com/shows/54610/the-wonderland-of-ten-thousands	The Wonderland of Ten Thousands	Animation	Chinese	['Anime', 'Fantasy', 'Romance']	Running	10.0	10.0	2018-03-30	nan	https://v.qq.com/detail/5/5cuf8ahvxvm2587.html	65.0	nan	<p>The master of Ye Xing Yun will ascend to heaven, leaving behind the great strength of the Tian Yuan Sect, and Ye Xing Yun making the new Sovereign of the Tian Yuan Sect, and at the request of his master, seek revenge by entering into a small family while waiting to perform revenge. Ye Xing Yun embarks on an extremely dangerous road, but with his strategy, and with the help of the masters of the Tian Yuan Sect, his long-term strategy of confrontation with the huge Zhou dynasty.</p>	1.646256e+09	https://api.tvmaze.com/episodes/1985789
6	2080223	https://www.tvmaze.com/episodes/2080223/supreme-god-emperor-1x61-episode-61	Episode 61	1.0	61.0	regular	2020-12-07	nan	2020-12-07T04:00:00+00:00	10.0	None	nan	55019	https://www.tvmaze.com/shows/55019/supreme-god-emperor	Supreme God Emperor	Animation	Chinese	['Anime']	Running	10.0	10.0	2020-05-18	nan	https://v.qq.com/detail/m/mzc00200ilydv1a.html	63.0	nan	<p>Ten thousand years ago, Muyun's fairy King was secretly accounted for by holding a Zhuxian figure, and after a long sleep, he awakened in the famous "Muyun waste" of the southern Yun Empire in the Land of Heaven. When Muyun first woke up, he was deliberately bothered by the student Miaoxianyu. Muyun easily completed the Miaoxianyu trap, and he gave more and more alchemy skills by analogy, so the Alchemy masters outside the door could not ask for appreciation. Endless back home, Mu Yun learns that he is about to marry Nona Qin Qin Mengyao. Qin Mengyao was cold and toxic, but could not live until he was 20 years old. The marriage was only for the sake of pastoralists and family of Qin. However, under Mu Linchen's enticement, Mu Yun approves the family's issue on the condition of alchemy.</p><p><br /> </p>	1.642202e+09	https://api.tvmaze.com/episodes/2039622
7	1977315	https://www.tvmaze.com/episodes/1977315/stjernestov-1x07-episode-7	Episode 7	1.0	7.0	regular	2020-12-07	06:00	2020-12-07T05:00:00+00:00	20.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726341.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726341.jpg'}	nan	50752	https://www.tvmaze.com/shows/50752/stjernestov	Stjernestøv	Scripted	Norwegian	['Drama', 'Children', 'Family']	Ended	20.0	20.0	2020-12-01	2020-12-24	https://tv.nrk.no/serie/stjernestoev	22.0	nan	<p>The parents get divorced and Jo has to move to a new place. One day, Nordstjerna goes out, and Jo discovers that a girl with magical powers lives in the attic.</p>	1.611437e+09	https://api.tvmaze.com/episodes/2039623
8	2003092	https://www.tvmaze.com/episodes/2003092/slepaa-10x96-kto-v-dome-zivet	Кто в доме живёт	10.0	96.0	regular	2020-12-07	17:35	2020-12-07T05:35:00+00:00	25.0	None	nan	26268	https://www.tvmaze.com/shows/26268/slepaa	Слепая	Scripted	Russian	['Drama']	Running	25.0	25.0	2014-08-18	nan	http://tv3.ru/project/slepaya	11.0	nan	nan	1.647379e+09	https://api.tvmaze.com/episodes/2324427
9	1981501	https://www.tvmaze.com/episodes/1981501/esenepozner-s02-special-zakladka-39-v-poiskah-grazdanskoj-oborony-konstantinopola-i-operatora-antonioni	Закладка #39: в поисках Гражданской обороны, Константинополя и оператора Антониони	2.0	NaN	insignificant_special	2020-12-07	20:00	2020-12-07T08:00:00+00:00	14.0	None	nan	39804	https://www.tvmaze.com/shows/39804/esenepozner	ещёнепознер	Talk Show	Russian	[]	Running	50.0	77.0	2018-10-21	nan	https://www.youtube.com/channel/UCNRYbltJXhf6DepS26-uSbQ	42.0	nan	nan	1.651429e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
75	1977576	https://www.tvmaze.com/episodes/1977576/atop-the-fourth-wall-12x45-awesome-comics-holiday-special-1	Awesome Comics Holiday Special #1	12.0	45.0	regular	2020-12-07	nan	2020-12-07T17:00:00+00:00	25.0	None	nan	18971	https://www.tvmaze.com/shows/18971/atop-the-fourth-wall	Atop the Fourth Wall	Variety	English	[]	Running	25.0	25.0	2008-10-26	nan	http://www.atopthefourthwall.com	28.0	nan	<p><b>Atop the Fourth Wall</b> is a comic book review show, hosted by Lewis "Linkara" Lovhaug. The show specializes in reviewing really bad comic books.</p>	1.649779e+09	https://api.tvmaze.com/episodes/1949334
76	2036537	https://www.tvmaze.com/episodes/2036537/raw-talk-4x28-december-7-2020	December 7, 2020	4.0	28.0	regular	2020-12-07	nan	2020-12-07T17:00:00+00:00	30.0	None	nan	22473	https://www.tvmaze.com/shows/22473/raw-talk	RAW Talk	Talk Show	English	['Sports']	Running	30.0	30.0	2016-10-30	nan	https://watch.wwe.com/in-ring/Raw-Talk-1004	40.0	nan	<p>On <b>RAW Talk</b>, Renee Young catches up with your favorite WWE RAW Superstars after each episode of "RAW" airs on the USA Network to hear their thoughts on all of that evening's action.</p>	1.641487e+09	https://api.tvmaze.com/episodes/1949335
77	2014192	https://www.tvmaze.com/episodes/2014192/true-colors-1x04-alex-rodriguez	Alex Rodriguez	1.0	4.0	regular	2020-12-07	nan	2020-12-07T17:00:00+00:00	12.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/293/734732.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/293/734732.jpg'}	<p>From humble beginnings to legendary baseball player and current CEO, A-Rod shares his success story.</p>	50918	https://www.tvmaze.com/shows/50918/true-colors	True Colors	Documentary	English	[]	To Be Determined	NaN	16.0	2020-09-29	nan	https://www.peacocktv.com/truecolors	32.0	nan	<p>An intimate and vivid portrait of the stories of successful Hispanics living in the United States. Enlightening audiences and showing their True Colors through a closer look at their beginnings, struggles, family, and close friends.</p>	1.630797e+09	https://api.tvmaze.com/episodes/1949336
78	1960031	https://www.tvmaze.com/episodes/1960031/goede-tijden-slechte-tijden-31x57-aflevering-6312	Aflevering 6312	31.0	57.0	regular	2020-12-07	20:00	2020-12-07T19:00:00+00:00	23.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716332.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716332.jpg'}	nan	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	['Drama', 'Romance']	Running	23.0	25.0	1990-10-01	nan	http://gtst.nl/#!/	77.0	nan	nan	1.651839e+09	https://api.tvmaze.com/episodes/1996786
79	1986262	https://www.tvmaze.com/episodes/1986262/frusna-vagar-6x07-episode-7	Episode 7	6.0	7.0	regular	2020-12-07	20:00	2020-12-07T19:00:00+00:00	60.0	None	nan	35597	https://www.tvmaze.com/shows/35597/frusna-vagar	Frusna vägar	Reality	Swedish	[]	Running	60.0	60.0	2018-01-30	nan	https://www.viafree.se/program/reality/frusna-vagar	11.0	nan	<p>Join a sparkling Sweden far up in the north where snow and ice are everyday for both bearers and snowmen, but not as comfortable for big city residents on a temporary visit. In Frozen roads, we go out on the roads along with the heroes who turn the northern borders into dangerous areas, despite Kung Boro's hard resistance. When the wind suddenly sweeps into the sparkling fields in snowy wrecking, the roads shine glashala and the drifting snow forms piles, then they have never longed so much for the heroes of the winter roads.</p>	1.644330e+09	https://api.tvmaze.com/episodes/1955318
80	1978062	https://www.tvmaze.com/episodes/1978062/prince-charming-2x09-folge-9	Folge 9	2.0	9.0	regular	2020-12-07	20:15	2020-12-07T19:15:00+00:00	60.0	None	nan	45015	https://www.tvmaze.com/shows/45015/prince-charming	Prince Charming	Reality	German	['Romance']	Running	60.0	60.0	2019-10-30	nan	https://www.tvnow.de/shows/prince-charming-17742	18.0	nan	nan	1.632907e+09	https://api.tvmaze.com/episodes/1996399
81	1981614	https://www.tvmaze.com/episodes/1981614/inside-poundland-secrets-from-the-shop-floor-1x01-episode-1	Episode 1	1.0	1.0	regular	2020-12-07	21:00	2020-12-07T21:00:00+00:00	60.0	None	<p>Managing director Barry visits the Walsall branch to help with the launch of Project Diamond - a multimillion-pound investment into giving stores a makeover and branching into new product lines like frozen and chilled food.</p>	52287	https://www.tvmaze.com/shows/52287/inside-poundland-secrets-from-the-shop-floor	Inside Poundland: Secrets from the Shop Floor	Documentary	English	[]	To Be Determined	60.0	60.0	2020-12-07	nan	https://www.channel4.com/programmes/inside-poundland-secrets-from-the-shop-floor	25.0	nan	<p>From bargain to deluxe, Poundland are on a mission to transform their reputation and go upmarket, from investing millions on opening new stores and undergoing refits to launching new product ranges.</p>	1.607382e+09	https://api.tvmaze.com/episodes/2042003
82	1981615	https://www.tvmaze.com/episodes/1981615/inside-poundland-secrets-from-the-shop-floor-1x02-episode-2	Episode 2	1.0	2.0	regular	2020-12-07	21:00	2020-12-07T21:00:00+00:00	60.0	None	<p>Area manager Colin prepares for the opening day of a new store in Stockton-on-Tees, while managing director Barry oversees the national launch of a homeware range.</p>	52287	https://www.tvmaze.com/shows/52287/inside-poundland-secrets-from-the-shop-floor	Inside Poundland: Secrets from the Shop Floor	Documentary	English	[]	To Be Determined	60.0	60.0	2020-12-07	nan	https://www.channel4.com/programmes/inside-poundland-secrets-from-the-shop-floor	25.0	nan	<p>From bargain to deluxe, Poundland are on a mission to transform their reputation and go upmarket, from investing millions on opening new stores and undergoing refits to launching new product ranges.</p>	1.607382e+09	https://api.tvmaze.com/episodes/1996689
83	1972711	https://www.tvmaze.com/episodes/1972711/wwe-monday-night-raw-27x49-1437-amway-center-in-orlando-fl	#1437 - Amway Center in Orlando, FL	27.0	49.0	regular	2020-12-07	20:00	2020-12-08T01:00:00+00:00	180.0	None	nan	802	https://www.tvmaze.com/shows/802/wwe-monday-night-raw	WWE Monday Night RAW	Sports	English	[]	Running	180.0	181.0	1993-01-11	nan	http://www.wwe.com/	94.0	nan	<p><b>WWE Monday Night RAW</b> is World Wrestling Entertainment's (formerly the WWF and the WWWF before that) premiere wrestling event and brand. Since its launch in 1993, WWE Monday Night RAW continues to air live on Monday nights. It is generally seen as the company's flagship program due to its prolific history, high ratings, weekly live format, and emphasis on pay-per-views. Monday Night RAW is high profile enough to attract frequent visits from celebrities who usually serve as guest hosts for a single live event. Since its first episode, the show has been broadcast live or recorded from more than 197 different arenas in 165 cities and towns in seven different nations: including the United States, Canada, the United Kingdom twice a year, Afghanistan for a special Tribute to the Troops, Germany, Japan, Italy and Mexico.</p>	1.649724e+09	https://api.tvmaze.com/episodes/1950703
84	2152584	https://www.tvmaze.com/episodes/2152584/gang-wars-princes-1x09-serija-9	Serija 9	1.0	9.0	regular	2020-12-07	21:00	2020-12-08T02:00:00+00:00	45.0	None	nan	57009	https://www.tvmaze.com/shows/57009/gang-wars-princes	Gang Wars. Princes	Scripted	Lithuanian	['Drama', 'Crime', 'Thriller']	Ended	NaN	45.0	2020-10-12	2020-12-28	https://go3.lt/series/gauju-karai-princai,serial-2042036	17.0	nan	<p>Based on true events, the new Go3 original series is a crime story that may have taken place in the late 20th century in Lithuania. The story about one of the criminal groups "Princes" shows their methods of action, lifestyle and relationships with other criminal gangs.</p>	1.636217e+09	https://api.tvmaze.com/episodes/2050241

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Close Punctuation

Open Punctuation

Letter Number

Most occurring scripts

Most frequent character per script

Latin

Cyrillic

Common

Most occurring blocks

Most frequent character per block

ASCII

Cyrillic

None

Number Forms

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter